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ORCIDVinay Kukreja
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2020 – today
- 2025
[j22]Khushmeen Kaur Brar, Bhawna Goyal
, Ayush Dogra, Mohammed Ahmed Mustafa, Rana Majumdar, Ahmed Alkhayyat, Vinay Kukreja:
Image segmentation review: Theoretical background and recent advances. Inf. Fusion 114: 102608 (2025)- 2024
- [j21]Deepak Kumar, Vinay Kukreja:
Image segmentation, classification, and recognition methods for wheat diseases: Two Decades' systematic literature review. Comput. Electron. Agric. 221: 109005 (2024) - [j20]Rishabh Sharma, Vinay Kukreja:
Image segmentation, classification and recognition methods for comics: A decade systematic literature review. Eng. Appl. Artif. Intell. 131: 107715 (2024) - [j19]Abhishek Bhattacherjee, Vinay Kukreja, Arun Aggarwal:
Stakeholders' perspective towards employability: a hybrid fuzzy AHP-TOPSIS Approach. Educ. Inf. Technol. 29(2): 2157-2181 (2024) - [j18]Rishu, Vinay Kukreja:
Comic exploration and Insights: Recent trends in LDA-Based recognition studies. Expert Syst. Appl. 255: 124732 (2024) - [j17]Bhawna Goyal, Ayush Dogra, Dawa Chyophel Lepcha, Vishal Goyal, Ahmed Alkhayyat, Jasgurpreet Singh Chohan, Vinay Kukreja:
Recent advances in image dehazing: Formal analysis to automated approaches. Inf. Fusion 104: 102151 (2024) - [j16]Sakshi, Vinay Kukreja:
Machine learning and non-machine learning methods in mathematical recognition systems: Two decades' systematic literature review. Multim. Tools Appl. 83(9): 27831-27900 (2024) - [j15]Deepak Kumar, Vinay Kukreja, Amitoj Singh:
A novel hybrid segmentation technique for identification of wheat rust diseases. Multim. Tools Appl. 83(29): 72221-72251 (2024) - [j14]Rakesh Mohan Datt, Vinay Kukreja:
Neural Network Model for Predicting Apple Yield Based on Arrival of Phenological Stage in Conjunction with Leaf disease, Soil and Weather Parameters. SN Comput. Sci. 5(1): 141 (2024) - [j13]Vinay Kukreja, Tejinder Pal Singh Brar, Satvik Vats, Ankit Bansal, Rishabh Sharma:
Advancing Climate Forecasting Accuracy Through Neurosymbolic Integration: Unveiling the Neurosymbolic Climate Inference and Prediction (NS-CIP) Model's Approach to Predicting Extreme Weather Events. SN Comput. Sci. 5(7): 958 (2024) - 2023
- [j12]Sakshi, Vinay Kukreja:
A dive in white and grey shades of ML and non-ML literature: a multivocal analysis of mathematical expressions. Artif. Intell. Rev. 56(7): 7047-7135 (2023) - [j11]Vinay Kukreja, Anuj Kumar Jain, Amitoj Singh, Rajesh Kumar Kaushal, Arun Aggarwal:
Analysing moderators and critical factors that affect early childhood education with the usage of touchscreen contrivances: A hybrid fuzzy AHP - fuzzy TOPSIS approach. Educ. Inf. Technol. 28(5): 5621-5650 (2023) - [j10]Sakshi, Vinay Kukreja:
Recent trends in mathematical expressions recognition: An LDA-based analysis. Expert Syst. Appl. 213(Part): 119028 (2023) - [j9]Shweta Lamba, Preeti Saini, Jagpreet Kaur, Vinay Kukreja:
Optimized classification model for plant diseases using generative adversarial networks. Innov. Syst. Softw. Eng. 19(1): 103-115 (2023) - [j8]Amitoj Singh, Vinay Kukreja, Munish Kumar:
An empirical study to design an effective agile knowledge management framework. Multim. Tools Appl. 82(8): 12191-12209 (2023) - [j7]Preetjot Kaur, Roopali Garg, Vinay Kukreja:
Energy-efficiency schemes for base stations in 5G heterogeneous networks: a systematic literature review. Telecommun. Syst. 84(1): 115-151 (2023) - [c32]Manavi Nair, Sarvesh Tanwar, Sumit Badotra, Vinay Kukreja:
Use of Neural Machine Translation in Multimodal Translation. IC3I 2023: 130-135 - [c31]Rishu, Vinay Kukreja, Vikrant Sharma:
Unveiling the Language of Comics: Classifying Speech Balloons for Enhanced Analysis and Interpretation. IC3I 2023: 1193-1198 - [c30]Deepak Banerjee, Vinay Kukreja, Vikrant Sharma, Manika Manwal, Varun Jindal:
An Ensemble Approach of CNN and SVM for Precise Classification of Sweet Corn Leaf Diseases. ICCCNT 2023: 1-6 - [c29]Ankit Bansal, Rishabh Sharma, Vinay Kukreja, Amitoj Singh, Satvik Vats:
Sustainable PRS: A hybrid DL-based parcel recognition approach. ICCCNT 2023: 1-5 - [c28]Nikhil Dhawan, Vinay Kukreja, Rishabh Sharma, Satvik Vats, Aditya Verma:
Deep Learning Based Sugarcane Downy Mildew Disease Detection Using CNN-LSTM Ensemble Model for Severity Level Classification. ICCCNT 2023: 1-5 - [c27]Shruti Garg, Vinay Kukreja, Rishabh Sharma, Vikrant Sharma, Manisha Aeri:
Unveiling the Hidden Patterns: Deep Learning Approach for Early Detection and Severity Classification of Sugarcane Brown Spot. ICCCNT 2023: 1-5 - [c26]Varun Jindal, Anuj Kumar Jain, Vinay Kukreja, Raj Gaurang Tiwari, Satvik Vats, Rishabh Sharma:
Hybrid Classification Model using CNN & SVM for Seven Wonders of the World. ICCCNT 2023: 1-5 - [c25]Naman Joshi, Deepak Kumar, Vinay Kukreja, Pradeepta Kumar Sarangi:
Automated Tea Leaves Recognition: Multi-Classification Using YOLOv5 and Inception V3 Model. ICCCNT 2023: 1-6 - [c24]Vinay Kukreja, Rishabh Sharma, Dibyahash Bordoloi:
Application of Deep Learning Strategy for Multi-classification of Indian Heritage Images. ICCCNT 2023: 1-5 - [c23]Vinay Kukreja, Rishabh Sharma, Vikrant Sharma, Aditya Verma:
Crop Vigil: Automated Wheat Bunt Disease Multi-Classification with a CNN-RNN Hybrid Model and Attention Block. ICCCNT 2023: 1-6 - [c22]Vinay Kukreja, Rishabh Sharma, Satvik Vats, Manika Manwal:
DeepLeaf: Revolutionizing Rice Disease Detection and Classification using Convolutional Neural Networks and Random Forest Hybrid Model. ICCCNT 2023: 1-6 - [c21]Deepak Kumar, Yash Kumar, Vinay Kukreja, Shanmugasundram Hariharan, Bhawna Goyal, Aditya Verma:
Preserving Heritage Palaces: A Deep Learning CNN-SVM Hybrid Approach for Multi-classification. ICCCNT 2023: 1-5 - [c20]Manish Mahajan, Rishabh Sharma, Amandeep Singh, Vinay Kukreja, Satvik Vats:
Towards Smart Agriculture: Automated Detection and Diagnosis of Bean Leaf Diseases Using ResNext50 Model. ICCCNT 2023: 1-6 - [c19]Shiva Mehta, Vinay Kukreja, Dibyahash Bordoloi:
Revolutionizing Heritage Site Information Retrieval: A Deep Learning Approach Utilizing CNN and SVM for Effective Classification of Cultural Heritage Sites. ICCCNT 2023: 1-6 - [c18]Shiva Mehta, Vinay Kukreja, Richa Gupta:
Exploring the Potential of Federated Learning CNN for Interactive Virtual Tours of UNESCO Cultural Heritage Sites: A Case Study. ICCCNT 2023: 1-6 - [c17]Shiva Mehta, Vinay Kukreja, Vikrant Sharma:
Utilizing Federated Learning and CNNs for Severity Analysis of Fenugreek Leaf Diseases. ICCCNT 2023: 1-6 - [c16]Shiva Mehta, Vinay Kukreja, Vikrant Sharma, Manisha Aeri:
Cutting-edge Analysis of Sweet Potato Leaf Diseases: Leveraging Federated Learning and CNNs for Severity Evaluation. ICCCNT 2023: 1-6 - [c15]Shiva Mehta, Vinay Kukreja, Vikrant Sharma, Manika Manwal:
Optimizing Fenugreek Leaf Disease Detection: An Exploration of Federated Learning with CNN. ICCCNT 2023: 1-6 - [c14]Shiva Mehta, Vinay Kukreja, Satvik Vats:
Innovative Approaches to Java Plum Leaf Disease Identification: Federated Learning meets Convolutional Neural Networks. ICCCNT 2023: 1-6 - [c13]Shiva Mehta, Vinay Kukreja, Satvik Vats:
Propelling Agritech Forward: Federated Learning and CNN for Sweet Potato Disease Diagnosis. ICCCNT 2023: 1-6 - [c12]Shiva Mehta, Vinay Kukreja, Satvik Vats:
Pioneering a Beetroot Disease Diagnosis with Federated Learning and CNN. ICCCNT 2023: 1-6 - [c11]Shiva Mehta, Vinay Kukreja, Satvik Vats:
Revolutionizing Agricultural Expertise: A Federated Learning-CNN Approach for Potato Leaf Disease Multi-Classification. ICCCNT 2023: 1-6 - [c10]Shiva Mehta, Vinay Kukreja, Satvik Vats:
Uncovering New Possibilities for Rice Agriculture: A CNN-SVM Model for Accurate Identification of Severity in Bacterial Brown Spot Rice Leaf's Disease. ICCCNT 2023: 1-6 - [c9]Shiva Mehta, Vinay Kukreja, Satvik Vats, Manika Manwal:
Scalable and Privacy-Severity Analysis of Pomegranate Leaf Diseases: Federated Learning with CNNs. ICCCNT 2023: 1-6 - [c8]Shiva Mehta, Vinay Kukreja, Satvik Vats, Aditya Verma:
A Paradigm Shift in Pomegranate Leaf Disease Detection with Federated Learning and CNN. ICCCNT 2023: 1-6 - [c7]Aaryan Sharma, Deepak Kumar, Vinay Kukreja:
Boosting Crop Yield and Quality: Deep Learning-Based Multi-Classification of Wheat Eye Spot Disease. ICCCNT 2023: 1-6 - [c6]Rishabh Sharma, Vinay Kukreja, Satvik Vats:
Smart logistics multi-classification system using CNN and LSTM. ICCCNT 2023: 1-4 - [c5]Amandeep Singh, Sweety Sehgal, Manish Mahajan, Vinay Kukreja, Rishabh Sharma, Satvik Vats:
FesNas: A Breakthrough Algorithm for Multi-Classification of Wheat Black Rust Intensity Levels. ICCCNT 2023: 1-5 - [c4]Sohail, Deepak Kumar, Vinay Kukreja:
Ensemble Deep Learning Using faster RCNN Model and Fuzzy rule System for Health Monitoring of Heritage Castles. ICCCNT 2023: 1-6 - [c3]Yashu, Deepak Kumar, Vinay Kukreja, Pradeepta Kumar Sarangi:
Integrating YOLOv5 and Pretrained Models to Enhance Wheat Leaf Rust Disease Recognition. ICCCNT 2023: 1-5 - 2022
- [j6]Deepak Kumar, Vinay Kukreja:
Deep learning in wheat diseases classification: A systematic review. Multim. Tools Appl. 81(7): 10143-10187 (2022) - [j5]Vinay Kukreja, Sakshi:
Machine learning models for mathematical symbol recognition: A stem to stern literature analysis. Multim. Tools Appl. 81(20): 28651-28687 (2022) - [j4]Amanpreet Kaur, Gurpreet Singh Bhamra, Vinay Kukreja, Sparsh Sharma, Saurabh Singh, Byungun Yoon:
Adaptation of IoT with Blockchain in Food Supply Chain Management: An Analysis-Based Review in Development, Benefits and Potential Applications. Sensors 22(21): 8174 (2022) - 2021
- [j3]Sakshi, Vinay Kukreja:
A retrospective study on handwritten mathematical symbols and expressions: Classification and recognition. Eng. Appl. Artif. Intell. 103: 104292 (2021) - [j2]Vinay Kukreja, Amitoj Singh, Sachin Ahuja:
Identification, assessment and ranking agile software development critical success factors - a factor analysis approach. Int. J. Knowl. Learn. 14(3): 216-243 (2021) - [j1]Vivek Bhardwaj, Vinay Kukreja, Amitoj Singh:
Usage of Prosody Modification and Acoustic Adaptation for Robust Automatic Speech Recognition (ASR) System. Rev. d'Intelligence Artif. 35(3): 235-242 (2021) - [c2]Vivek Bhardwaj, Vinay Kukreja, Navjeet Kaur, Nandini Modi:
Building an ASR System for Indian (Punjabi) language and its evaluation for Malwa and Majha dialect: Preliminary Results. ICCCNT 2021: 1-5
2010 – 2019
- 2011
- [c1]Vinay Kukreja, Jaiteg Singh, Anju Sharma:
Contemporary study of cloud computing environment. ACAI 2011: 233-235
Coauthor Index
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last updated on 2025-01-21 00:07 CET by the dblp team
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